Data Governance SeniorPosition SummaryThe
Data Governance Senior is responsible for designing, implementing, and continuously improving the organization's Data Governance framework to ensure enterprise data is trusted, secure, compliant, and aligned with business objectives. This role establishes governance policies, standards, processes, roles, and controls that promote data quality, consistency, stewardship, and regulatory compliance across the enterprise.
Working closely with business stakeholders, data owners, data stewards, solution architects, security teams, and data engineering teams, the Data Governance Expert drives the adoption of governance best practices, defines data ownership and accountability, and ensures enterprise data assets are managed as strategic business resources.
Key Responsibilities- Design, implement, and maintain the enterprise Data Governance framework.
- Define and standardize data governance policies, processes, standards, and operating procedures.
- Establish data ownership, stewardship, and accountability models across business domains.
- Develop and enforce data quality standards, validation rules, and monitoring processes to improve the accuracy, completeness, consistency, and reliability of enterprise data.
- Define and manage enterprise data access policies, security classifications, and governance controls in collaboration with Information Security teams.
- Ensure compliance with organizational policies, regulatory requirements, and industry standards related to data privacy and protection.
- Collaborate with Data Architects, Data Engineers, Business Analysts, and business stakeholders to embed governance throughout the data lifecycle.
- Support metadata management, business glossary, data catalog, and data lineage initiatives.
- Monitor governance metrics, perform governance assessments, and recommend continuous improvements.
- Promote data governance awareness, training, and adoption across the organization.
Required Skills- Enterprise Data Governance
- Data Quality Management
- Data Stewardship
- Data Ownership and Accountability
- Metadata Management
- Data Catalog and Business Glossary
- Data Lineage
- Data Access Management and Security
- Data Privacy and Regulatory Compliance
- SQL
- Python
- Strong analytical, communication, and stakeholder management skills
Tools & Platforms- AWS Cloud
- Databricks
- Snowflake
Technologies- SQL
- Python
- Data Governance
- Data Quality
- Metadata Management
- Data Catalog
- Data Lineage
Preferred Qualifications- Experience implementing enterprise Data Governance programs in cloud-based data environments.
- Strong understanding of data governance frameworks, data lifecycle management, and master data management (MDM) principles.
- Experience with cloud data platforms such as AWS, Databricks, and Snowflake.
- Knowledge of enterprise data security, access controls, and regulatory compliance requirements.
- Experience collaborating with cross-functional business and technical teams to establish governance standards and drive organizational adoption.
- Ability to influence stakeholders and champion a data-driven culture built on trusted, high-quality data assets.
